搜索资源列表
Reinhard_StainNormalization
- 将一个图像的颜色信息转移到另一个图像上，在对图像做归一化的时候很有用处-This approach maps the colour distribution of an over/under stained image to that of a well stained target image. Reinhard presented a method for matching the colour distribution of an image to that of a target i
LDLPackage
- 最新的标号学习分布matlab代码，是一种比较新的优化算法-The latest distribution matlab code label study, is a relatively new optimization algorithm
Tetra_RGB_Lab(1)
- 该程序实现了从RGB空间模型到Lab模型的转换，分别采用三线性插值法与四面体插值法，并绘制出不同模型精度分布图，进行了比较，非常好运行。-The program implements the conversion RGB to Lab space model models were used to tri-linear interpolation method with tetrahedral interpolation method, and draw out the different d
kstest-testing
- 如何检测数据是否服从正态分布，kstest检测。-How to detect whether the data follow a normal distribution, kstest testing.
improve
- 比较适合进行DVC视频压缩处理研究者使用，里面有进行比较的程序代码。-it is convinent to this peoples who are studying Distribution vedio coding.
skindect
- 在彩色空间中，皮肤颜色的分布较为集中，与其他景物颜色间有较好的可区分性，可以用模型描述或对样本进行学习的方法加以判别。图像中皮肤颜色的差异主要由光照引起，在检测中只考虑色度信息，就可以减少光照的影响，使肤色的分布更趋集中。通过检测皮肤区域，可以缩小人脸的搜索范围，提高检测速度。HSV空间是RGB空间的非线性变换，它将原本相关性很强的R、G、B值转换为相关性较弱的H、S、V值，H和S分量与人感受色彩的方式相一致。HSV颜色空间可以用一个圆锥空间模型来描述.-In the color space,
junzhixing
- 均匀性度量法的设计思想是，假设当图像被分为目标物和背景两个类别时，属于同一类别内的像素值分布应该具有均匀性。-Uniformity Metrics design ideas is to assume when the image is divided into two categories, the object and the background, belong to the same category of pixel values within the dis
mean-shift-Image-segmentation--
- Mean-shift算法用于彩色图像分割，本人已经用在自己的课题上，效果挺好，该算法对遮挡、变形等情况的鲁棒性比较好，但是在背景及目标颜色的分布相类似时，效果将欠佳。-Mean-shift algorithm for color image segmentation, I have used on their own subject, effect is good, the algorithm robustness of shade, deformation, and so on and so
ScreenDetect
- 根据图像中能量的局部分布效应，检测LCD,LED等屏幕的缺陷等问题；-According to the local distribution effect, the image energy detection of LCD, LED and other screen problem
calc_T2_NCEXP
- 用NCEXP算法计算T2，包括非中心卡分布，以及固定sigma时的代码-Code with NCEXP algorithm T2, including noncentral chi distribution, and when fixed sigma
CPP_test
- 本程序采用C++语言计算图像LENA的一维图像熵和二维图像熵，并在控制台窗口中显示图像灰度值的一维和二维分布。-The program uses an image LENA C++ language computing one-dimensional and two-dimensional image entropy image entropy and displays images one-dimensional and two-dimensional distribution of gray
Texture
- 图像基于统计的纹理特征，包括灰度分布统计，灰度共生矩阵属性。可用于纹理特征提取-Image texture features based on statistics, including the gray distribution statistics, GLCM property. Can be used for texture feature extraction
Iterative-Fourier-algorithm-(GS)
- 迭代傅里叶算法实现对高斯光束的整形：用malab将二维的高斯分布图形转化成三维的分布的方法和用迭代傅里叶变换（GS）的算法对高斯光束的整形做对比-Iterative Fourier algorithm of gaussian beam shaping: the two-dimensional gaussian distribution with malab graphics into three-dimensional distribution method and using iterativ
zixiangguanhanshu2
- 该程序能够实现各种分布函数的自相关函数的计算-The program enables the calculation of the autocorrelation function of the various distribution functions
HuiDuBianHuanDib
- 主要实现图像反色变换、分段线性变换、灰度分布均衡化、灰度匹配变换、直方图显示、RGB直方图分别显示、阈值处理。-The main achievement anti-color image transformation, piecewise linear transformation, gray distribution equalization, matching gray transform, histogram display, RGB histograms show, thresholdi
varErrorDiff
- 基于改进的F-S error diffusion算法对彩色图像位数降为8色。其中分配系数采用动态系数-Based on the F-S error diffusion algorithm to improve the color image figures down to 8 colors. The distribution coefficient by using the dynamic coefficient
Comparetime-frequencydistribution
- 比较四分量信号的不同时频分布结果,小波分析。-Compare the results of time-frequency distribution of the four components of the signal
facedetection
- 根据人脸的肤色分布，通过对灰度图像二值化和网格标记等实现人脸标记-According to the face skin color distribution by binarization, grid marking the face detection function is achieved
Two_Dimensional_Gaussian
- 高斯平滑滤波器被使用去模糊图像，和均值滤波器差不多，但是和均值滤波器不一样的地方就是核不同。均值滤波器的核每一个值都是相等，而高斯平滑滤波器的核内的数却是呈现高斯分布的。-Gaussian smoothing filter is used to blur the image, and almost mean filter, and averaging filter but not the same place is a different core. Each core value averag
image-transformation
- 了解图像变换的实质和意义，熟悉傅立叶变换的性质，通过实验了解二维频谱的分布特点，掌握VC++编程实现数字图像的傅立叶变换及滤波处理的方法。-Understand the nature and meaning of the image transformation, the familiar Fourier transform nature through experiments to understand the characteristics of two-dimensional spectr